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http://www.sdsc.edu/

Founded in 1985, the San Diego Supercomputer Center (SDSC) enables international science and engineering discoveries through advances in computational science and data-intensive, high-performance computing. SDSC is considered a leader in data-intensive computing, providing resources, services and expertise to the national research community including industry and academia. The mission of SDSC is to extend the reach of scientific accomplishments by providing tools such as high-performance hardware technologies, integrative software technologies, and deep interdisciplinary expertise to these communities. From 1997 to 2004, SDSC extended its leadership in computational science and engineering to form the National Partnership for Advanced Computational Infrastructure (NPACI), teaming with approximately 40 university partners around the country. Today, SDSC is an Organized Research Unit of the University of California, San Diego with a staff of talented scientists, software developers, and support personnel. A broad community of scientists, engineers, students, commercial partners, museums, and other facilities work with SDSC to develop cyberinfrastructure-enabled applications to help manage their extreme data needs. Projects run the gamut from creating astrophysics visualization for the American Museum of Natural History, to supporting more than 20,000 users per day to the Protein Data Bank, to performing large-scale, award-winning simulations of the origin of the universe or how a major earthquake would affect densely populated areas such as southern California. Along with these data cyberinfrastructure tools, SDSC also offers users full-time support including code optimization, training, 24-hour help desk services, portal development and a variety of other services. As one of the NSF's first national supercomputer centers, SDSC served as the data-intensive site lead in the agency's TeraGrid program, a multiyear effort to build and deploy the world's first large-scale infrastructure for open scientific research. SDSC currently provides advanced user support and expertise for XSEDE (Extreme Science and Engineering Discovery Environment) the five-year NSF-funded program that succeeded TeraGrid in mid-2011.

Proper citation: San Diego Supercomputer Center (RRID:SCR_001856) Copy   

•   Source: SciCrunch Registry

http://www.nsgc.org/

Professional society of genetic counselors that promotes networking, continuing education opportunities, advocacy, and discussion of relevant issues in the field of genetics.

Proper citation: National Society of Genetic Counselors (RRID:SCR_001803) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/RchyOptimyx.html

Software that constructs a hierarchy of cells using flow cytometry for maximization of an external variable (e.g., a clinical outcome or a cytokine response).

Proper citation: RchyOptimyx (RRID:SCR_001889) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.13/bioc/html/cqn.html

A normalization tool for RNA-Seq data, implementing the conditional quantile normalization method.

Proper citation: CQN (RRID:SCR_001786) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/src/contrib/Archive/PoissonSeq/

Software package that implements a method for normalization, testing, and false discovery rate estimation for RNA-sequencing data.

Proper citation: PoissonSeq (RRID:SCR_001784) Copy   

•   Source: SciCrunch Registry

http://www.genebridges.com/

A biotech company that commercializes its patented Red/ET recombination worldwide as licenses and supplies several products for the pharmaceutical and biotech industry as well as academia. It operates from the Technologie Park in Heidelberg and provides customized in-house DNA modification of any kind. Recombineering with Red/ET allows cloning, subcloning and modification of DNA at any chosen position. It permits precise engineering of DNA molecules of any size, including very large ones such as BACs or the E.coli chromosome.

Proper citation: Gene Bridges (RRID:SCR_000483) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/mirprimer/

Software tool for automatic design of primers for PCR amplification of microRNAs using the method miR-specific RT-qPCR (Balcells, I., Cirera, S., and Busk, P.K. (2011). Specific and sensitive quantitative RT-PCR of miRNAs with DNA primers. BMC Biotechnol. 11, 70).

Proper citation: miRprimer (RRID:SCR_000480) Copy   

•   Source: SciCrunch Registry

http://www.arb-home.de/

Software environment for maintaining databases of molecular sequences and additional information, and for analyzing the sequence data, with emphasis on phylogeny reconstruction. Programs have primarily been developed for ribosomal ribonucleic acid (rRNA) sequences and, therefore, contain special tools for alignment and analysis of these structures. However, other molecular sequence data can also be handled. Protein gene sequences and predicted protein primary structures as well as protein secondary structures can be stored in the same database. ARB package is designed for graphical user interface. Program control and data display are available in a hierarchical set of windows and subwindows. Majority of operations can be controlled using mouse for moving pointer and the left mouse button for initiating and performing operations.

Proper citation: ARB project (RRID:SCR_000515) Copy   

•   Source: SciCrunch Registry

https://github.com/cc2qe/speedseq

Software for a lightweight, flexible, and open source pipeline that identifies genomic variation (single nucleotide variants (SNVs), indels, and structural variants (SVs)).

Proper citation: SpeedSeq (RRID:SCR_000469) Copy   

•   Source: SciCrunch Registry

http://mfuzz.sysbiolab.eu/

Software package for noise-robust soft clustering of gene expression time-series data (including a graphical user interface)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Mfuzz (RRID:SCR_000523) Copy   

•   Source: SciCrunch Registry

http://gmt.genome.wustl.edu/pindel/0.2.4/

Software to detect breakpoints of large deletions, medium sized insertions, inversions, tandem duplications and other structural variants at single-based resolution from next-gen sequence data. It uses a pattern growth approach to identify the breakpoints of these variants from paired-end short reads., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Pindel (RRID:SCR_000560) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/genome_bio/siphy/

Software that implements rigorous statistical tests to detect bases under selection from a multiple alignment data. It takes full advantage of deeply sequenced phylogenies to estimate both unlikely substitution patterns as well as slowdowns or accelerations in mutation rates. It can be applied as an Hidden Markov Model (HMM), in sliding windows, or to specific regions.

Proper citation: SiPhy (RRID:SCR_000564) Copy   

•   Source: SciCrunch Registry

http://lilab.stanford.edu/SNPiR/

Software for reliable Identification of Genomic Variants Using RNA-seq Data.

Proper citation: SNPiR (RRID:SCR_000557) Copy   

•   Source: SciCrunch Registry

http://paleogenomics.irmacs.sfu.ca/FPSAC/

Sogftware for fast Phylogenetic Scaffolding of Ancient Contigs.

Proper citation: FPSAC (RRID:SCR_000555) Copy   

•   Source: SciCrunch Registry

https://posit.co/

Open source and enterprise ready professional software for R statistical computing environment. Integrated development environment for R. Includes console, syntax highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace management. Available in open source and commercial editions and runs on desktop Windows, Mac, and Linux or in browser connected to RStudio Server or RStudio Server Pro (Debian/Ubuntu, RedHat/CentOS, and SUSE Linux).

Proper citation: RStudio (RRID:SCR_000432) Copy   

•   Source: SciCrunch Registry

http://drfast.sourceforge.net/

A software which maps di-base reads (SOLiD color space reads) to reference genome assemblies in a fast and memory-efficient manner.

Proper citation: drFAST (RRID:SCR_000586) Copy   

•   Source: SciCrunch Registry

http://genome.crg.es/software/gfftools/GFF2PS.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software program for visualizing annotations of genomic sequences. The program has features such as the ability to create comprehensive plots, customizable parameters, and flexibility in file format.

Proper citation: Genome BioInformatics Research Lab - gff2ps (RRID:SCR_000462) Copy   

•   Source: SciCrunch Registry

http://bioinfo2.ugr.es/NGSmethPipe/

A software tool which generates high-quality methylation maps.

Proper citation: NGSmethPipe (RRID:SCR_000583) Copy   

•   Source: SciCrunch Registry

http://www.stanford.edu/~cpatton/maxc.html

A series of programs for determining the free metal concentration in the presence of chelators or total metal given a desired free concentration.

Proper citation: MAXCHELATOR (RRID:SCR_000459) Copy   

•   Source: SciCrunch Registry

http://neuralensemble.org/neo/

A Python package for representing electrophysiology data, together with support for reading a wide range of neurophysiology file formats, including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, and support for writing to a subset of these formats plus non-proprietary formats including HDF5. The goal of Neo is to improve interoperability between Python tools for analyzing, visualizing and generating electrophysiology data (such as OpenElectrophy, NeuroTools, G-node, Helmholtz, PyNN) by providing a common, shared object model. In order to be as lightweight a dependency as possible, Neo is deliberately limited to represention of data, with no functions for data analysis or visualization. Neo implements a hierarchical data model well adapted to intracellular and extracellular electrophysiology and EEG data with support for multi-electrodes (for example tetrodes). Neo's data objects build on the quantities package, which in turn builds on NumPy by adding support for physical dimensions. Thus Neo objects behave just like normal NumPy arrays, but with additional metadata, checks for dimensional consistency and automatic unit conversion.

Proper citation: Neo (RRID:SCR_000634) Copy   

•   Source: SciCrunch Registry